𝒦𝒶𝒳𝒾ℴ𝓇 — CS2 Stats

PL76561199496533826[U:1:1536268098]Steam profile ↗✓ No bans

538Tracked matches59%Win rate2023Tracked since

2,122Hours in CS33Hrs last 2 wks

CSDB Rating5.9 SolidSupport

Premier CS Rating17,700Purple band · top ~17.7% of ranked players (population est.)

CSDB Leaderboard#117442 of 261504 tracked

FaceitLevel 5 · 1,037 ELOTop 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,700 → 17,700

0Faceit ELO · 1,037 → 1,037

+10Tracked matches · now 538

+3.7ppWin rate · 55.6% → 59.3%

Rating over time

Premier CS Rating: 17,700 -638 26 Jul – 3 Nov · 17 days played

Faceit ELO: 1,037 +0 8 Sept – 3 Nov · 3 observations

19,066Peak Premier in tracked matches

1,037Highest Faceit ELO seen on CSDB

42Days played since 2026-07-02

Faceit ELO

At peak — 1,037
Next: Level 5 at 1,051 — 14 to go
Reached: Level 4 · Level 3 · Level 2
Level 4 first seen 2026-09-08
Level 3 first seen 2026-09-08

Premier CS Rating

1,366 below peak (19,066)
+67 over 90 days
Next: Pink band at 20,000 — 2,300 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-08
Blue band first seen 2026-09-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 5 median	Level 6 median	vs Level 6
Headshot rate	39.4%	43.8%	44.8%	5.4% short
Shot accuracy	5.2%	12.0%	12.4%	7.2% short
Kill/death ratio	0.94	1.02	1.03	0.10 short
Match win rate	49.7%	44.7%	45.2%	above

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim72

Positioning48

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLWTWWLTWLW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · −0.7pp headshot accuracy · −55ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–1–1 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 566ms

Last 10

5–3–2 · 50% win rate
Avg rating -0.03
Avg headshot accuracy 13%
Avg reaction 560ms

Last 20

7–10–3 · 35% win rate
Avg rating -0.05
Avg headshot accuracy 13%
Avg reaction 587ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.2

Utility5.4

Positioning4.8

Opening Duels2.6

Clutch1.6

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 628ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.2

Positioning4.8

Utility5.4

Mechanics6.6

Opening Duels1.3

Win Impact8.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time580ms−59ms

first ⅓ avg 639ms → last ⅓ avg 580ms

Headshot accuracy13.0%−2.6%

first ⅓ avg 15.7% → last ⅓ avg 13.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.11Best match rating · 9–7 · inferno, 11 Oct →

43%Best headshot accuracy · 2–13 · mirage, 21 Oct →

438msFastest reaction time · 5–9 · inferno, 22 Oct →

13–1Biggest win · mirage, 26 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak

7–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

anubisBest map · 56% over 9cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	14–15	48%	-0.01
nuke	C	18	8–10	44%	-0.04
inferno	C	18	7–11	39%	-0.05
dust2	B	15	8–7	53%	-0.02
anubis	A	9	5–4	56%	-0.03
cache	D	6	2–4	33%	0.01
ancient	—	3	2–1	67%	0.03
debris	—	1	0–1	0%	-0.07
shelter	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Lifetime stats

35,513Lifetime kills

0.94K/D

2,554Matches

49.7%Match win rate · Top 25% of Level 5 players

39.4%Headshot %

5.2%Shot accuracy

4,963MVPs

821Hours (in match)

2,930Bombs planted

446Bombs defused

Most-used weapons

AK-4713,049

M4A4 / M4A1-S7,572

AWP4,245

P2000 / USP-S2,069

Glock-181,767

Desert Eagle1,546

MP9828

Galil AR712

FAMAS642

SSG 08482

Lifetime map wins

1,778nuke

1,705inferno

1,534vertigo

1,529dust2

245train

33office

13italy

10lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

172Matches

53%Win rate

0.89Avg K/D

70.6ADR

37%Headshot %

Clutches & streaks

28%1v1 clutch win

16%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	79	58%	0.91	13.4
Ancient	21	48%	0.77	12.8
Nuke	19	74%	0.87	12.6
Anubis	16	44%	0.94	14.3
Dust2	15	13%	0.85	13.8
Inferno	13	54%	0.88	12.4
Cache	4	75%	1.28	14.0
Vertigo	2	0%	0.88	14.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.7%Headshot accuracy

38.4%Accuracy (enemy spotted)

46.1%Spray accuracy

79.8%Counter-strafing

9.9°Preaim

628msReaction time

27.2%T opening success

40.1%CT opening success

0.63Enemies flashed / flash

13.0%Flash assists

11.32HE damage / grenade

4.65Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.7354% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 27.2394% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–7	0.04	16%	11 Nov →
nuke	13–11	-0.02	12%	11 Nov →
nuke	8–8	-0.02	12%	7 Nov →
ancient	13–8	-0.01	15%	29 Oct →
anubis	13–7	-0.04	7%	23 Oct →
mirage	4–13	-0.06	6%	22 Oct →
inferno	8–8	-0.09	11%	22 Oct →
inferno	9–5	0.04	13%	22 Oct →
inferno	5–9	-0.12	25%	22 Oct →
nuke	9–7	-0.02	13%	22 Oct →
nuke	9–5	0.02	12%	22 Oct →
nuke	6–9	-0.17	11%	22 Oct →
inferno	9–7	-0.00	7%	22 Oct →
inferno	6–9	-0.13	9%	22 Oct →
mirage	2–13	-0.02	43%	21 Oct →
anubis	12–12	-0.05	7%	21 Oct →
inferno	2–9	-0.08	11%	14 Oct →
inferno	4–9	-0.14	10%	14 Oct →
nuke	4–9	-0.08	21%	14 Oct →
inferno	7–9	-0.13	5%	14 Oct →
nuke	9–3	-0.04	12%	14 Oct →
inferno	9–7	-0.04	24%	12 Oct →
inferno	9–7	0.11	4%	11 Oct →
nuke	8–8	-0.04	18%	11 Oct →
inferno	9–3	0.05	9%	11 Oct →
mirage	13–10	0.04	9%	10 Oct →
inferno	3–9	-0.14	0%	8 Oct →
inferno	5–9	-0.10	20%	8 Oct →
nuke	3–9	-0.12	36%	7 Oct →
dust2	9–13	0.04	9%	6 Oct →
debris	2–9	-0.07	0%	6 Oct →
ancient	13–9	0.09	14%	4 Oct →
mirage	8–13	0.06	12%	3 Oct →
nuke	13–8	0.00	16%	2 Oct →
dust2	13–7	-0.01	17%	1 Oct →
mirage	5–13	-0.04	6%	1 Oct →
inferno	12–12	-0.00	12%	1 Oct →
anubis	13–4	0.09	21%	23 Sept →
mirage	10–13	-0.08	17%	6 Sept →
dust2	13–9	-0.04	10%	6 Sept →
mirage	12–12	0.04	14%	5 Sept →
shelter	4–13	-0.10	7%	5 Sept →
mirage	13–8	-0.04	13%	5 Sept →
mirage	13–8	-0.03	24%	5 Sept →
dust2	11–13	-0.08	25%	2 Sept →
dust2	13–8	0.08	9%	10 Aug →
cache	13–5	-0.00	17%	8 Aug →
nuke	13–6	-0.01	22%	5 Aug →
anubis	13–9	-0.06	6%	4 Aug →
cache	13–6	0.05	5%	4 Aug →
dust2	3–13	-0.04	11%	4 Aug →
mirage	10–13	-0.07	17%	2 Aug →
mirage	9–13	-0.00	21%	2 Aug →
dust2	7–13	-0.05	17%	2 Aug →
nuke	9–13	0.01	10%	1 Aug →
mirage	13–10	0.01	17%	1 Aug →
dust2	8–13	-0.03	28%	1 Aug →
inferno	5–13	-0.08	9%	1 Aug →
mirage	13–6	-0.01	22%	1 Aug →
mirage	7–13	-0.11	11%	31 Jul →
mirage	13–7	-0.04	5%	31 Jul →
inferno	13–10	-0.05	13%	31 Jul →
anubis	13–10	-0.07	20%	31 Jul →
mirage	14–16	0.01	10%	30 Jul →
nuke	10–13	-0.04	6%	30 Jul →
mirage	3–13	0.09	15%	30 Jul →
inferno	11–13	0.05	19%	29 Jul →
anubis	9–13	-0.07	18%	29 Jul →
dust2	10–13	-0.08	13%	28 Jul →
dust2	3–13	-0.08	13%	28 Jul →
nuke	13–6	0.03	22%	27 Jul →
anubis	9–13	-0.05	8%	27 Jul →
mirage	13–5	0.02	5%	27 Jul →
dust2	13–9	-0.06	13%	26 Jul →
nuke	4–13	-0.08	7%	26 Jul →
mirage	13–5	0.01	12%	26 Jul →
mirage	13–1	0.02	7%	26 Jul →
anubis	10–13	-0.07	5%	24 Jul →
mirage	10–13	-0.06	17%	24 Jul →
nuke	10–13	-0.05	16%	24 Jul →
inferno	13–11	-0.05	16%	23 Jul →
mirage	12–12	-0.04	26%	23 Jul →
cache	6–13	0.04	21%	23 Jul →
ancient	13–16	0.01	15%	21 Jul →
dust2	13–9	-0.05	18%	21 Jul →
mirage	13–10	0.02	10%	21 Jul →
mirage	13–10	-0.02	20%	21 Jul →
mirage	13–4	0.03	15%	20 Jul →
dust2	13–4	0.06	23%	20 Jul →
dust2	13–10	0.02	9%	20 Jul →
nuke	13–4	-0.01	11%	20 Jul →
anubis	13–11	0.03	24%	13 Jul →
cache	8–13	-0.04	15%	13 Jul →
cache	10–13	-0.00	20%	12 Jul →
mirage	6–13	0.00	16%	12 Jul →
mirage	13–4	-0.03	17%	10 Jul →
nuke	12–12	0.02	20%	8 Jul →
mirage	13–6	0.02	26%	2 Jul →
dust2	13–7	-0.01	22%	2 Jul →
mirage	6–13	-0.01	19%	2 Jul →